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Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model

Despite the neurocognitive risks of aging with HIV, initial cross-sectional data suggest a subpopulation of older people with HIV (PWH) possess youthful neurocognition (NC) characteristic of SuperAgers (SA). Here we characterize longitudinal NC trajectories of older PWH and their convergent validity...

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Detalles Bibliográficos
Autores principales: Saloner, Rowan, Lobo, Judith D., Paolillo, Emily W., Campbell, Laura M., Letendre, Scott L., Cherner, Mariana, Grant, Igor, Heaton, Robert K., Ellis, Ronald J., Roesch, Scott C., Moore, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046348/
https://www.ncbi.nlm.nih.gov/pubmed/34878634
http://dx.doi.org/10.1007/s10461-021-03546-9
Descripción
Sumario:Despite the neurocognitive risks of aging with HIV, initial cross-sectional data suggest a subpopulation of older people with HIV (PWH) possess youthful neurocognition (NC) characteristic of SuperAgers (SA). Here we characterize longitudinal NC trajectories of older PWH and their convergent validity with baseline SA status, per established SuperAging criteria in PWH, and baseline biopsychosocial factors. Growth mixture modeling (GMM) identified longitudinal NC classes in 184 older (age ≥ 50-years) PWH with 1–5 years of follow-up. Classes were defined using ‘peak-age’ global T-scores, which compare performance to a normative sample of 25-year-olds. 3-classes were identified: Class 1(Stable Elite) (n = 31 [16.8%], high baseline peak-age T-scores with flat trajectory); Class 2(Quadratic Average) (n = 100 [54.3%], intermediate baseline peak-age T-scores with u-shaped trajectory); Class 3(Quadratic Low) (n = 53 [28.8%], low baseline peak-age T-scores with u-shaped trajectory). Baseline predictors of Class 1(Stable Elite) included SA status, younger age, higher cognitive and physiologic reserve, and fewer subjective cognitive difficulties. This GMM analysis supports the construct validity of SuperAging in older PWH through identification of a subgroup with longitudinally-stable, youthful neurocognition and robust biopsychosocial health.